Overview
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Explore how to simplify AI/ML deployment using container-native approaches in this 23-minute conference talk from Conf42 Cloud Native 2025. Learn about the key challenges in AI model deployment, including packaging and versioning complexities in MLOps workflows. Discover KitOps, a container-native solution that streamlines the machine learning lifecycle through its Model Kit system and command-line interface. Follow along with practical demonstrations of KitOps pipelines and understand how to automate ML workflows using CI/CD practices. Gain insights into bringing the simplicity and reliability of container technologies to artificial intelligence and machine learning operations, making deployment processes more efficient and manageable for development teams.
Syllabus
00:00 Introduction to the Talk
00:30 Challenges in AI Model Deployment
01:50 Packaging and Versioning in MLOps
06:34 Introduction to KitOps
07:52 KitOps Model Kit and CLI
10:37 KitOps Pipeline and Demo
17:48 Automating ML Lifecycle with CI/CD
22:15 Conclusion and Resources
Taught by
Conf42